Objective: Sexual dysfunction among women with diabetes is a common but neglected health issue worldwide. The objective of the present study was to investigate the prevalence of sexual dysfunction and its associated factors among women with type 2 diabetes mellitus (T2DM). Subjects and methods: This cross-sectional comparative study comprises 150 women with diabetes and 100 healthy women without diabetes who visited the endocrinology outpatient department of Mymensingh Medical College Hospital (MMCH). The data were collected from July to December 2019. Sexual dysfunction was assessed by the 19-item Female Sexual Function Index (FSFI). Informed consent was obtained before participation. Collected data were analysed by SPSS 26. Results: More women with diabetes than control subjects reported sexual dysfunction (79% vs. 72%; p = 0.864). The global FSFI score was lower among the diabetes patients than among the healthy controls (20.8 ± 7.2 vs. 23.7 ± 4.8; p < 0.001). Patients with T2DM scored significantly lower in the domains of desire (p = 0.04), lubrication (p = 0.01), orgasm (p = 0.01), and satisfaction (p < 0.001), but not the domain of arousal (p = 0.09). A prolonged duration of diabetes was the primary contributor to orgasm problems (adjusted odds ratio, aOR 1.3, 95% CI 1.1-1.7) and painful intercourse (aOR 1.2, 95% CI 1.1-1.5). Conclusions: Sexual problems are frequent in women with diabetes. Inclusion of sexual health in comprehensive diabetes management is crucial to address this problem as well as to improve the quality of life of female diabetes patients.

Background: Thyroid disorders and diabetes mellitus are common endocrine disorders that often coexist and can significantly impact each other’s management. The American Diabetes Association recommends that people with diabetes be periodically screened for thyroid dysfunction due to the strong link between the two conditions. It is important for individuals to be aware of the risk factors for both conditions and to seek appropriate medical care if necessary, and for healthcare providers to consider testing for thyroid dysfunction in adults with newly detected type 2 diabetes mellitus. The aim of the study was to find out thyroid dysfunction in adults with newly detected type 2 diabetes mellitus. Material Methods: This cross-sectional, descriptive study was conducted at the Departments of Medicine and Endocrinology at Sir Salimullah Medical College and Mitford Hospital in Dhaka. The study period lasted six months, from May to October 2019. A total of 102 adult patients (above 20 years old) with newly diagnosed type 2 diabetes mellitus who were attending the Endocrinology and Medicine Outpatient Department participated in the study. Results: Out of 102 adults with newly detected type 2 diabetes mellitus, the majority (86.3%) had normal thyroid function (euthyroid), while a smaller number (13.7%) had thyroid dysfunction. The most common subgroup of thyroid dysfunction was subclinical hypothyroidism (7.8%), followed by hypothyroidism (3.9%), subclinical thyrotoxicosis (1.0%), and hyperthyroidism (1.0%). The majority of the study population was male (66%) and from urban areas (88%), with a mean age of 45.1 years, a mean BMI of 25.0 kg/m2, and a mean waist circumference of 98.4 cm. About 45% had a family history of diabetes mellitus and 37% were smokers. The blood pressure of the study population was within normal limits. A minority (30%) had co-morbidities such as hypertension, dyslipidemia, and ischemic heart disease. The predictors of thyroid dysfunction were observed Age (OR=0.785), F/H of thyroid disorder (OR=0.495) BMI (OR=1.059), Anti-TPO Ab(OR= 0.021). Conclusion: Thyroid dysfunction and diabetes are commonly associated with each other and can impact clinical presentation and laboratory results. It is important to routinely screen for thyroid function in all patients with type 2 diabetes mellitus to detect, treat, and prevent complications of both these conditions.

Background: Despite the wide acceptability of fasting lipid profile in practice, emerging evidence suggests that random lipid profile might be a convenient alternative for lipid measurement. The objective of the present study was to compare the fasting and random lipid profile among subjects with T2DM.Methods: The present cross-sectional study included 1543 subjects with T2DM visiting several endocrinology outpatient clinics throughout Bangladesh from January to December 2021. The fasting lipid profile was measured in the morning following 8-10 hours of overnight fasting, and the random lipid profile was measured at any time of the day irrespective of the last meal. The values of fasting and random lipids were compared using the Wilcoxon signed-rank test and Spearman rank correlation coefficients.Results: In this study, a good level of correlation was observed between fasting and random lipid levels [r = 0.793, p <0.001 for triglyceride (TG), r = 0.873, p <0.001 for low-density lipoprotein cholesterol (LDL-C), r = 0.609, p <0.001 for high-density lipoprotein cholesterol (HDL-C), and r = 0.780, p <0.001 for total cholesterol (TC)]. In addition, TG and TC levels increased by 14% and 0.51%, respectively, in the random state compared to the fasting state (p- <0.05), while LDL-C levels decreased by 0.71% (p value 0.42). No change was noticed in the HDL-C level. The difference between fasting and random lipid profile was similar according to age, sex, BMI, glucose-lowering drug(s), and lipid lowering therapy.Conclusions: Random lipid profile correlates significantly with fasting lipid profile with little difference. Hence, it might be a reliable alternative for fasting lipid profile in T2DM patients.

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Background Despite the wide acceptability of fasting lipid profiles in practice, emerging evidence suggests that random lipid profiles might be a convenient alternative for lipid measurement. The objective of the present study was to compare the fasting and random lipid profile among subjects with type 2 diabetes mellitus (T2DM). Methods The present cross-sectional study included 1543 subjects with T2DM visiting several endocrinology outpatient clinics throughout Bangladesh from January to December 2021. The fasting lipid profile was measured in the morning following 8–10 h of overnight fasting, and the random lipid profile was measured at any time of the day, irrespective of the last meal. The values of fasting and random lipids were compared using the Wilcoxon signed-rank test and Spearman rank correlation coefficients. Results In this study, a good level of correlation was observed between fasting and random lipid levels [r = 0.793, p < 0.001 for triglyceride (TG); r = 0.873, p < 0.001 for low-density lipoprotein cholesterol (LDL-C); r = 0.609, p < 0.001 for high-density lipoprotein cholesterol (HDL-C); and r = 0.780, p < 0.001 for total cholesterol (TC)]. In addition, TG and TC levels increased by 14% and 0.51%, respectively, in the random state compared to the fasting state (p- <0.05), while LDL-C levels decreased by 0.71% (p-value 0.42). No change was noticed in the HDL-C level. The difference between fasting and random lipid profiles was similar irrespective of patients’ age, sex, BMI, glucose-lowering drug(s), and lipid-lowering therapy. Conclusions Random lipid profile correlates significantly with fasting lipid profile with little difference. Hence, it might be a reliable alternative for fasting lipid profile in patients with T2DM.